基于UWB的可穿戴式人员定位设备设计与研究

为提升人员定位的精度与实时性,针对基于WiFi、蓝牙、RFID和Zigbee等无线通信技术的人员定位系统存在有效通信距离短、定位精度不高,且目前大部分的节点设备不易穿戴、使用不便的局限问题,提出了一种基于超宽带(UWB)技术的便携可穿戴式设备。该设备利用到达时间测距方法(TOF)解算输出可穿戴UWB节点与各基站间的距离、利用三边定位算法解算人员相对于固定基站的实际坐标,实现对人员的测距定位。本文提出采用多尺度小波变换的平移不变量法对采集到的UWB测距与定位信息进行滤波处理,在阈值小波去噪的基础上进行一定的改进,减小使用震动与多径对定位结果的影响,以提高设备的测距与定位精度。通过测试和分析,认为该设备使用便携,受环境影响小,定位精度高,进一步促进了人员定位技术的发展。

In To improve positioning accuracy and real-time performance,based on Wifi,Bluetooth,RFID and Zigbee wireless communication technology such as the personnel positioning system is effective communication distance is short,the positioning accuracy is not high,and now most of the limitation of node equipment is not easy to wear,difficult to use,this paper proposes a of ultra-wideband(UWB)technology based on portable wearable devices.The device uses the Time of Arrival Distance Measurement(TOF)method to calculate the distance between the output wearable UWB node and each base station,and uses the trilateral positioning algorithm to calculate the actual coordinates of the personnel relative to the fixed base station,so as to realize the ranging and positioning of the personnel.In this paper,the translation invariant method of multi-scale wavelet transform is proposed to filter the collected UWB ranging and positioning information,and some improvements are made on the basis of threshold wavelet denoising to reduce the influence of vibration and multipath on the positioning results,so as to improve the ranging and positioning accuracy of the equipment.Through testing and analysis,it is considered that the device is portable,less affected by the environment,and has high positioning accuracy,which further promotes the development of personnel positioning technology.